20 results about "Torque optimization" patented technology

The invention discloses a hybrid electric vehicle cooperative energy-saving control method and a hybrid electric vehicle cooperative energy-saving control system, which are used for constructing an integrated control system of vehicle-road cooperative information look-ahead-upper-layer vehicle speed planning-lower-layer ECMS-MPC torque optimization-upper-lower-layer closed-loop cooperative feedback aiming at complex working conditions of urban roads including signal lamp intersections, congested road sections and the like. The core defects of the prior art in the aspects of information dimension, working condition adaptability and control architecture are accurately overcome, and multi-target collaborative optimization of fuel consumption, traffic efficiency, driving comfort and battery life is achieved.

This invention discloses a mechanical leg, a robot, and a torque optimization design method. The mechanical leg includes a first transmission arm, a second transmission arm, and a transmission assembly. The first transmission arm connects to the robot's body and includes a frame with a guide groove extending along its length. The second transmission arm is rotatably connected to the first transmission arm. The transmission assembly includes a knee joint drive motor, a lead screw, a slide block, a connecting rod, and a crank. One end of the lead screw is connected to the output shaft of the knee joint drive motor, and the other end passes through the frame. The slide block is fitted onto the lead screw and has a guide portion that inserts into the guide groove. Rotation of the lead screw drives the slide block to move axially along the lead screw. One end of the connecting rod connects to the slide block, and the other end connects to the second transmission arm via the crank. This mechanical leg, by combining a ball screw mechanism and a crank-slide block mechanism, effectively amplifies the torque of the knee joint drive motor.

This invention discloses a motion control method for a six-wheeled lunar rover based on a hierarchical control structure. The method includes establishing a six-wheeled lunar rover model and a hierarchical control framework comprising a state reference layer, a torque decision layer, and a torque distribution layer. In the state reference layer, a two-degree-of-freedom single-track model is constructed to calculate the ideal yaw rate and center-of-gravity sideslip angle. In the torque decision layer, a double-power-law approach is designed to calculate the longitudinal velocity tracking error, yaw rate tracking error, and center-of-gravity sideslip angle tracking error; a sliding mode control method is used to calculate the generalized longitudinal force, lateral force, and yaw moment. In the torque distribution layer, an objective function is constructed based on the optimal control principle, and the torque distribution for the six wheels is optimized under the constraints of minimizing tire load rate and total motor energy consumption. This invention achieves motion stability control and collaborative optimization through a hierarchical control architecture, a sliding mode variable structure algorithm, and dynamic torque optimization distribution, providing an effective solution for torque control strategies in lunar exploration missions.

A kind of electric vehicle Tip-in anti-collision gear control system and control method, belong to the technical field of automobile driving performance optimization, wherein the electric vehicle Tip-in anti-collision gear control system, including the detection component that detection loosens acceleration pedal and then carries out Tip-in operation and makes the detection component of whole car gear impact risk state, detection component is connected with motor controller by whole car controller to control motor gear front and reducer gear reverse side keeps meshing, the beneficial effects of the present application are, the present application increases reasonable gear torque to motor in the process of vehicle sliding, optimizes the whole car gear impact feeling when Tip-in operation again in the process of low-speed sliding under non-energy recovery state, further improves the driving comfort of whole car.

The invention discloses a wheel-foot robot climbing control method and system based on attitude and torque optimization, and relates to the technical field of robot control. The method comprises the steps that the gravity center of a robot trunk serves as the moment center, and a statics model of a wheel-foot robot on a slope is constructed; quantitatively analyzing the influence of gravity projection, wheelbase and station height of the robot on torque distribution of front and rear wheels, and establishing a torque distribution ratio formula; determining an optimal gravity center projection distance ratio, an optimal axle distance and an optimal station height by taking torque balance as a target; in the actual climbing process of the wheel-foot robot, the projection position of the gravity center of the robot body is obtained in real time, the posture of the wheel-foot robot is adjusted and controlled according to the projection position, the projection position is always located in a safe area of the supporting polygon, and meanwhile the optimal gravity center projection distance ratio, the axle distance and the station height are combined according to the projection position. And torque output of front and rear wheels of the wheel-foot robot is regulated to realize stable climbing. The problem that the wheel-foot robot turns on one side and slips frequently in the process of advancing on the slope can be solved.

The present application relates to the motor technical field, especially a kind of motor tooth slot torque optimization method, device, equipment and storage medium.It is by constructing motor simulation model, and parameter scanning is carried out to motor simulation model, obtains scanning data;Based on scanning data, fitting function is constructed;According to the geometric parameters of motor simulation model, determine parameter boundary condition;According to parameter boundary condition and fitting function, determine target auxiliary slot parameter.The present application is by constructing motor simulation model first, and parameter scanning is carried out to motor simulation model, obtains scanning data, then according to scanning data, fitting function is constructed, reduces the computing power cost, according to the geometric parameters of motor simulation model, determine parameter boundary condition, finally according to fitting function and parameter boundary condition, determine target auxiliary slot parameter, to make the auxiliary slot opened according to the target auxiliary slot parameter can guarantee the output torque of motor and reduce the tooth slot torque of motor.

A torque optimization system for an electrified vehicle having an electrified powertrain including three electric motors a, b, and c and an additional torque generating system includes a set of sensors configured to measure a set of operating parameters of the electrified vehicle and a control system configured to determine a torque relationship between electric motors b and c, solving a three-dimensional (3D) optimization problem for the electrified powertrain, the 3D optimization problem defining torques generatable by one of electric motors b and c, electric motor a, and the additional torque generating system, determine torque commands for the three electric motors a, b, and c and the torque generating system based on the solving of the 3D optimization problem, the determined torque relationship, and the set of operating parameters, and control the electrified powertrain based on the determined torque commands.

This application discloses a method for active thermal management and torque coordinated control of motors in a large eVTOL system, relating to the field of electric vertical takeoff and landing aircraft control technology. The disclosed method for active thermal management and torque coordinated control of motors in a large eVTOL system acquires flight mission data and real-time status data, calculates thermal load assessment data, determines multi-objective optimization weight configuration data, and inputs torque optimization commands to a dynamic optimizer, thereby realizing coordinated control of motor thermal management and torque output. This method can effectively prevent motor thermal imbalance, improve flight control accuracy and system reliability, and avoid failures caused by overheating.

The application discloses a new energy automobile whole vehicle torque zero-crossing control method and system, a server and a medium, and relates to the technical field of new energy automobiles.The control method comprises the following steps: obtaining the current throttle opening of the vehicle, the actual torque of the rear motor, the required torque of the rear motor and the torque zero-crossing interval; when the required torque of the rear motor and the actual torque of the rear motor are both in the torque zero-crossing interval, adjusting the required torque of the front motor and the required torque of the rear motor according to a set torque distribution ratio; when at least one of the required torque of the rear motor and the actual torque of the rear motor is not in the torque zero-crossing interval, adjusting the required torque of the front motor and the required torque of the rear motor according to a preset data distribution table and the current throttle opening of the vehicle; controlling the rotation of the front motor according to the adjusted required torque of the front motor, and controlling the rotation of the rear motor according to the adjusted required torque of the rear motor. The required torques of the front motor and the rear motor are adjusted in different ways, and the torque zero-crossing jitter problem of the vehicle is optimized.

The present application relates to cable sheath extrusion equipment technical field, especially a kind of based on torque optimization's double screw grouting extruder and its control system, including extrusion assembly, cladding assembly and detection assembly and information acquisition unit, processing unit and execution unit, according to the feed speed of cable blank adjustment extrusion assembly's extrusion rate, guarantee sheath thickness and continuity, guarantee the processing precision of cable, reduce processing error, different specifications thick and thin cable blank are automatically identified, match corresponding sheath thickness, gear can move up and down, when cable blank appears fault defect, automatically close conical block and conical cavity, prevent sheath continue production, realize the automatic detection and alarm of defect, reduce product defect, improve cable production quality, pass through the running state of cable blank by gyro wheel judgment, adapt different driving motor input power, to optimize the torque of two transmission screws, realize best extrusion effect, improve production intelligentization and production efficiency.

The invention discloses a real-time torque optimal distribution method and device and a storage medium, and relates to the field of automobile torque intelligent distribution. The method comprises the steps that a solver used for solving the optimal additional torque of four wheels of the vehicle and a predictor used for determining the initial additional torque are constructed; training the predictor through a training set to predict an initial additional torque; and when the difference between the initial additional torque predicted by the trained predictor on the test set and the optimal additional torque obtained by the solver through the test set is below the specified tolerance, determining that the initial additional torque obtained by the predictor is available. According to the method, the advantages of the neural network and the multi-objective optimization torque vector distribution algorithm are fully coupled and played, the appropriate initial additional torque is automatically predicted by coupling neural network prediction and multi-objective optimization iteration solution, it is ensured that the initial additional torque is close to the optimal additional torque in the numerical value and iteration direction, and therefore the calculation speed is remarkably increased, and the calculation efficiency is improved. And the computing power is reduced.

A torque optimization system for an electrified vehicle having an electrified powertrain including three electric motors a, b, and c and an additional torque generating system includes a set of sensors configured to measure a set of operating parameters of the electrified vehicle and a control system configured to determine a torque relationship between electric motors b and c, solving a three-dimensional (3D) optimization problem for the electrified powertrain, the 3D optimization problem defining torques generatable by one of electric motors b and c, electric motor a, and the additional torque generating system, determine torque commands for the three electric motors a, b, and c and the torque generating system based on the solving of the 3D optimization problem, the determined torque relationship, and the set of operating parameters, and control the electrified powertrain based on the determined torque commands.

The invention discloses an automatic motor calibration algorithm based on variable carrier frequency and composite modulation, and the algorithm specifically comprises the steps: 1, employing a switching frequency capable of covering all working conditions and an SVPWM modulation mode, building a motor twin trawling rack test system, guaranteeing the normal connection of a motor controller with a power analyzer and a CAN communication system, and enabling the motor controller to be connected with a power analyzer; control instruction sending, torque data acquisition and system efficiency real-time transmission are realized; 2, calibrating a low rotating speed interval to obtain maximum torques and corresponding angles under different currents; 3, calibrating a high rotating speed interval so as to adapt to torque optimization under the limit voltage; step 4, system efficiency optimization calibration is carried out to determine an optimal modulation mode and switching frequency; step 5, back electromotive force monitoring and thermal management; step 6, switching frequency processing and modulation mode correction; and step 7, integrating the calibration data of all the working condition points, extracting the optimal system efficiency point under each working condition and the corresponding modulation mode and switching frequency, generating a motor control program file according to the optimal parameters, and completing all-working-condition calibration.

The invention discloses a trajectory tracking fault-tolerant control method under an electric vehicle steering system fault, and relates to the technical field of electric vehicle active safety and motion control in vehicle dynamics control. The problems of large modeling error, large external disturbance, complex driving characteristics, hardware redundancy and the like in electric vehicle trajectory tracking fault-tolerant control can be well solved. The method comprises the following steps: firstly, considering the robustness and modeling precision of a controller, designing an upper-layer robust optimal sliding mode path tracking controller by improving an LQR path tracking controller, and outputting an expected front wheel steering angle and an additional yawing moment; then, based on the differential steering principle, the middle layer adopts a self-adaptive super-spiral sliding mode to design a front wheel steering angle tracker, and a steering fault is compensated through the differential torque of a front axle motor; and finally, a torque optimal distribution control algorithm is designed at the lower layer to coordinate torque distribution of four wheels. The problem that the trajectory tracking performance is reduced due to faults of a steering system of the distributed driving electric vehicle can be solved, and the safety and stability of the vehicle during running are improved.

The invention relates to the technical field of brake energy monitoring, and discloses a method for determining brake energy of a civil aircraft, and high-precision energy calculation is realized through the following innovative scheme: firstly, key constants such as brake heat dissipation parameters and fan heat dissipation constants are automatically called according to a selected aircraft type; multi-source input parameters such as brake pressure, aircraft ground speed, aircraft wheel angular speed and external temperature are received in real time; a dynamic energy calculation model is established, initial brake generation energy and heat dissipation energy are directly calculated through a normalization formula, and a traditional difference table reading mechanism is replaced; specially designing pressure ratio dimensionless processing, heat dissipation coefficient dynamic correction and an energy return-to-zero protection threshold value; and outputting the residual energy to the control method to realize brake torque optimization. According to the method, the accuracy of energy early warning under the high-dynamic working condition is improved, the brake overheating failure probability is further reduced, the service life of parts is prolonged, the false alarm and redundant overhaul times are reduced, and the maintenance efficiency and economical efficiency of a whole machine team are improved.

This invention introduces an advanced Variable Electromagnetic Drive Train specifically designed to optimize the Angular speed of wind turbines, particularly vertical axis wind turbines (VAWTs ), under different wind conditions. The system achieves efficient RDM optimization through its electromagnetic drive train, enabling the generator to maintain optimal performance independently of the turbine's rotational speed. Torque optimization is accomplished via one of these methods. First, the drive train dynamically adjusts the Tip-Speed Ratio (TSR), allowing the turbine to adapt to varying wind intensities by adjusting the swept area-arms. Second, an additional stator layer within the electromagnetic drive train provides precise control over torque. This design within the electromagnetic drive train enables fine-tuned adjustments to both speed and torque, maximizing energy capture and maintaining consistent power output. By decoupling the generator's operating parameters from fluctuating wind speeds, this system enhances efficiency and reliability across a wide range of environmental conditions. This innovative approach is also applicable to horizontal axis wind turbines (HAWTs ) and other mechanical systems where precise control over RPM and torque is essential. The variable electromagnetic drive train technology thus provides a flexible, adaptable solution for sustainable energy generation and mechanical applications requiring robust control over dynamic loads.

The application discloses a torque optimization method for an outer rotor permanent magnet synchronous motor, and comprises the following steps: 1) design parameter selection: selecting key characteristics of a motor stator slot as design parameters, including slot shoulder height H s1 , tooth length H s2 , chord length B s0 and slot shoulder width B s1 ; 2) finite element model construction: establishing a multi-objective finite element model with tooth slot torque, torque ripple and average torque as targets; 3) analytical model establishment: establishing an analytical model of motor torque by using an energy method and a repeating unit method, and comparing with the finite element model to verify the accuracy of the analytical model; 4) response surface model construction: based on simulation data of the finite element model, performing finite element analysis by using a central composite design (CCD), constructing a response surface model, and performing sensitivity analysis on design variables to determine the influence of each variable on optimization targets; and 5) optimization efficiency improvement: determining an optimal configuration in a design space by using an adaptive genetic aggregation algorithm (AGA), so as to achieve a multi-objective optimization effect.

The invention discloses a torque optimization distribution method of a dual-motor driving system for a 1ms high-precision control period, which comprises the following steps of: 1, constructing a real-time dual-motor torque distribution mechanism based on an interpolation model and an improved quantum particle swarm optimization (QPSO) algorithm, updating an individual optimal position and global optimum according to the fitness of each particle, outputting front and rear motor torques corresponding to the optimal comprehensive efficiency; 2, on the basis of the real vehicle speed and the target vehicle speed, particle search boundaries are limited on the basis of an improved quantum particle swarm optimization (QPSO) algorithm, quantum behaviors are evolved, a multi-dimensional composite fitness function is introduced, and the optimal compensation torque and the optimal convergence curve are output; according to the method, the bound state model in quantum mechanics is introduced, the particle position evolution behavior is described by the probability distribution of the wave function, and the capability of jumping out of the local extremal region of the particles is enhanced through the quantum tunneling effect, so that the overall global optimization performance is improved.

This invention discloses a bidirectional master-slave game-based vehicle chassis control method, system, and vehicle, relating to the field of vehicle dynamics control. The method includes: calculating the ideal yaw rate under normal operating conditions; setting the ideal centroid sideslip angle to 0; calculating the comprehensive situational risk index; comparing the comprehensive situational risk index with the extreme instability critical boundary and the linear stability recovery boundary to determine the current game topology state variables; determining the leader and follower based on the current game topology state variables; using the ideal yaw rate and ideal centroid sideslip angle under normal operating conditions to form the desired control states of the leader and follower; solving the bidirectional master-slave game between the leader and follower to obtain the rear wheel steering angle and additional yaw moment; sending the rear wheel steering angle to the rear wheel actuator; and establishing a torque optimization allocation function based on the additional yaw moment to allocate the desired driving torque to each wheel. This invention improves the maneuverability of corner module vehicles under normal operating conditions and their stability under extreme operating conditions.

The invention relates to an improved MPC unmanned aerial vehicle dynamics control method. The method comprises the following specific steps: S1, establishing an unmanned aerial vehicle dynamics model; firstly, an unmanned aerial vehicle kinetic model is established, and motion is described by adopting an Euler-Lagrange equation based on kinetic energy, potential energy and generalized force of an unmanned aerial vehicle; s2, establishing a PD controller for the dynamic model of the unmanned aerial vehicle established in the S1; s3, performing parameter identification on the PD controller in the S2 by adopting nonlinear dynamic sparse identification; and S4, carrying out torque optimization on the unmanned aerial vehicle torque obtained by the PD controller in the S3 by adopting MPC. According to the method, unmanned aerial vehicle input modeling based on PD control is adopted, simple and efficient approximation is provided for control input, and a practical tool is provided for control-oriented dynamic modeling; a nonlinear dynamic sparse identification method is adopted, an explainable model is directly derived from data to enhance an MPC framework, and the control accuracy and adaptability of the unmanned aerial vehicle in an uncertain environment are improved.